Stars
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
SOTA Re-identification Methods and Toolbox
Rich is a Python library for rich text and beautiful formatting in the terminal.
End-to-End Object Detection with Transformers
PyTorch implementation of Contrastive Learning methods
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
[arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
OpenMMLab Detection Toolbox and Benchmark
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
A faster pytorch implementation of faster r-cnn
Image-to-Image Translation in PyTorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.